Data management is "the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets". The goal is to make doing research easier and more effective.
In a scientific, academic setting this means developing plans and policies for how data generated in the laboratory, as a result of experimentation, is stored and saved so it can be used and more easily understood by scientists other than those that originally generated it.
Data Life Cycle:
There are several freely available couses / tutorials aimed to teach the best practices for data management: